Abstract
Purpose: Thoracic endometriosis -related pneumothorax (TERP) is a secondary
condition specific for females, but in a clinical setting, TERP is often difficult to
distinguish from primary spontaneous pneumothorax (PSP) based on a relationship
between the dates of pneumothorax and menstruation. The aim of this study is to clarify
the clinical features of TERP as compared with PSP.
Methods
We retrospectively reviewed the clinical and histopathological files of female
patients with pneumothorax who underwent video -assisted thoracoscopic surgery in the
Pneumothorax Research Center during the six -year period from January 200 5 to
December 2010. We analyzed the clinical differences between TERP and PSP.
Results
The study included a total of 393 female patients with spontaneous
pneumothorax, of whom 92 (23.4%) were diagnosed as having TERP and 33.6%
(132/393) as having PSP. We identified four factors ( right-sided pneumothorax, history
of pelvic endometriosis , age ≥ 31 years old and no smoking history) that were
statistically significant for predicting TERP and assigned 6, 5, 4, and 3 points,
respectively, to establish a scoring system with a calculated score from 0 to 18 . The
cut-off values of a calculated score ≥ 12 yielded the highest positive predictive value
(86.0% with a 95% confidence interval (CI) of 81.5% - 90.5%) for TERP and negative
predictive value (95.2% with 95% CI of 92.3% - 98.0%) for PSP.
Conclusions
TERP has several distinct clinical features from PSP. O ur scoring system
consists of only four clinical variables that are easily obtainable and enable s us to
suspect TERP in female patients with pneumothorax.
Key words: primary spontaneous pneumothorax, thoracic endometriosis-related
pneumothorax, thoracic endometriosis, pneumothorax
Introduction
Spontaneous pneumothorax is classified into primary (PSP) and secondary
categories. PSP refers to a spontaneously occurring air leakage into the pleural space in
patients with no clinically apparent underlying lung disease [1]. The diagnosis of PSP is
confirmed histopathologically with subpleural blebs and bullae and no obvious
abnormality in pulmonary parenchyma [2]. Catamenial pneumothorax is a condition
limited to females and reported to account for about 20 to 30% of women with
pneumothorax [3, 4] . It is defined simply by the onset of pneumothorax during a
menstrual cycle: the pneumothorax that occurs between 24 ho urs before and 72 hours
after the initiation of menses [5]. Because catamenial pneumothorax is usually caused
by thoracic endometriosis [6, 7], a large part of catamenial pneumothorax is diagnosed
as thoracic endometriosis -related pneumothorax (TERP) after thoracic surgery.
However, catamenial pneumothorax may include female patients with PSP that happens
to occur in the peri-menstrual period.
TERP is defined as pneumothorax due to thoracic endometriosis, and the
diagnosis of TERP requires histopathological confirmation [5]. Generally, ectopic
endometrial tissues are found in the diaphragm in TERP, whereas no abnormality in
pulmonary parenchyma is apparent. The mechanism of TERP has been speculated as
follows: 1) Air enters into the thoracic cavity from the peritoneum through a
diaphragmatic defect caused by the implantation of endometrial tissues. This a ir in the
peritoneum may be from outside the body and pass through ovarian tubes [8]. 2)
Alternatively, air enters into the thoracic cavity from the airway through a defect of
visceral pleura caused by the implantation of endometrial tissues [9, 10].
Until recently, TERP had been thought to develop only as catamenial
pneumothorax. However, Alifano et al. recently reported that 37.9% of TERP cases
developed as non-catamenial pneumothorax [11]. Accordingly, TERP is difficult to
distinguish from PSP based on the relationship between the calendar dates of
pneumothorax and menstruation; theoretically, catamenial TERP, non-catamenial TERP,
catamenial PSP, and non -catamenial PSP exist. Furthermore, TERP is virtually
indistinguishable from PSP based on the findings of imaging tests such as chest X -ray
and computed tomography ( CT), because the amount of ectopic endometrial tissue
implanted within the respiratory system is too small for detection by such examinations
[5]. A preferable scenario is that TERP is suspected before surgery, because the
approaches for therapy as well as the recurrence rate [12, 13] are quite different between
TERP and PSP.
As previously describe d, the clinical features of TERP are right -sided
pneumothorax and a history of pelvic endometriosis [5]. In contrast, patients with PSP
tend to be tall [14] and usually have a smoking history [15, 16]. However, few reports
directly compare the clinical fea tures of TERP and PSP nor do they clarify the
significance of each clinical variable. The aim of this study is to clarify the clinical
features of TERP as compared with PSP.
Methods
Study population
The clinical and histopathological files of all female patients who underwent
video-assisted thoracoscopic surgery (V A TS) in the Pneumothorax Research Center
during the six -year period from January 2005 to December 2010 were retrospectively
reviewed. The patients who were histopathologically diagnosed as havi ng TERP or PSP
were included in this study. According to Alifano et al., we made a diagnosis of TERP
when the existence of endometrial stroma or the endometrial glands in the resected
diaphragm and/or lung tissue was confirmed immunohistochemically by the presence of
strong nuclear staining for either estrogen or progesterone receptors [11]. The diagnosis
of PSP was made when 1) pneumothorax occurred in otherwise healthy individuals with
normal or essentially normal underlying lungs on CT images of the ches t, and 2) blebs
and/or bullae were histologically confirmed in the resected lung specimen. In patients
with PSP, we were unable to collect information from medical records on the
relationship between the occurrence of pneumothorax and menstrual cycle.
For patients with TERP and PSP, we compared the ages, pneumothorax side, height,
body weight, smoking habits, history of pelvic endometriosis, number of pneumothorax
episodes before surgery, duration of follow -up after surgery and postoperative
recurrence rate . We assigned the scores to each clinical variables found to be an
independent predictor for the diagnosis of TERP, weighted according to the
beta-coefficients from the multivariate logistic model [17]. We calculated a total score
for each patient and anal yzed the performance characteristics of the score for the
diagnosis of TERP. The study was approved by the institutional review board of Nissan
Tamagawa Hospital (approval number 12-012).
Statistical analysis
The quantitative data are presented as means ± SD. The differences between
the patients with TERP and PSP were analyzed using the Chi -square test for categorical
variables and student’s t-test for quantitative variables. A multiple logistic regression
analysis was used to assess the role of several v ariables as predictive factors for TERP.
The contribution of each potential predictive facto r was denoted by an odds ratio and
the associated 95% confidence interval (CI). A receiver operating characteristic (ROC)
curve was used to analyze the probability of TERP diagnosis in dependence on the
calculated score. A value of p < 0.05 was considered to be significant. A statistical
software package (JMP, version 10.0.2; SAS Institute; Cary, NC, USA) was used for the
statistical analysis.
Results
A total of 562 female patients with spontaneous pneumothorax was admitted
for treatment during the six -year study period. Of these, 393 patients underwent V A TS
for pneumothorax. Ninety -two (23.4%) of the 393 patients were diagnosed as having
TERP and 33.6% (132/393) as having PSP. Thirty (32.6%) of the 92 patients with TERP
had catamenial pneumothorax with the remainder (62/92, 67.4%) classified as
non-catamenial.
Characteristics of the study population are summarized in Table 1. The patients
with TERP showed significa ntly distinct features differing from those in the patients
with PSP. The TERP group were older, shorter and usually had right -sided
pneumothorax plus pelvic endometriosis but little or no history of smoking. Many
preoperative pneumothorax episodes were no ted. One exception was a patient with
TERP whose pneumothorax was left -sided. The postoperative recurrence of
pneumothorax was more frequently noted in patients with TERP.
To find the predictive factors for TERP, we performed multivariable analysis
(Table 2). The right-sided pneumothorax showed the greatest odds ratio among the other
predictive factors, followed by history of pelvic endometriosis, age ≥ 31 years old, no
smoking history, the number of preoperative pneumothorax episodes ≥ 4, and height ≤
159 cm in that order.
Next, we assigned a score to each predictive factor to establish discriminant
analysis between TERP and PSP. We excluded two factors, height and the number of
preoperative pneumothorax episodes, from the discriminant analysis, since these are
likely to be greatly influenced by race and the medical treatment available for
pneumothorax; additionally, these two factors interfered with generalizing the outcome.
Accordingly, we adopted the four factors to which scores of 3 to 6 were assigned th en
established a system with calculated scores from 0 to 18 (Table 2). These scores were
tested at different cut -off values. The cut -off values of a calculated score ≧12 yielded
the highest positive predictive value (86.0% with 95% CI of 81.5% - 90.5%) for TERP
and negative predictive value (95.2% with 95% CI of 92.3% - 98.0%) for PSP (Table 3).
The ROC curve reflects the accuracy of the diagnostic test: area under the curve was
0.9665 (Figure 1).
Discussion
We found that TERP had distinct clinical featur es as compared with those of
PSP, enabling us to establish a simple scoring system to distinguish TERP from PSP. We
demonstrated that this system had a satisfactorily high positive predictive value for
TERP as well as a negative one for PS P. The scoring sy stem utilize s four clinical
variables identified here that are easily obtainable by history taking and physical
examination: the side of pneumothorax, history of pelvic endometriosis, patient age, and
smoking history. These clinical variables have been rep orted in the literature to be
associated with TERP or PSP [5, 14 – 16]. Although a concrete diagnosis of TERP is
required for histologic examination of the diaphragm or the lung tissue, the scoring
system developed here seems to be suitable for suspecting TERP, thereby reducing the
oversight of TERP in female patients with pneumothorax.
Catamenial pneumothorax has been reported to occur on the right side in
almost all such cases [5], and only two case reports of left catamenial pneumothorax [9,
18] and two case reports of bilateral catamenial pneumothorax [19, 20] exist. However,
those reports lacked information about the histopathological diagnosis of thoracic
endometriosis. This study thus provides the first description of a left -sided TERP based
on a histopathological diagnosis. PSP has no documented laterality so far [2]. Therefore,
the presence of left pneumothorax in females has a high diagnostic value for PSP.
Evaluating the past history of pelvic endometriosis is valuable for diagnosing
TERP in female patients with pneumothorax. In this study, 58.7% (54/92) of the patients
with TERP had a history of pelvic endometriosis. The percentage of patients with pelvic
endometriosis among those with catamenial pneumothorax varies broadly and is
reported to be 18 to 84% [4, 21]. In the majority of patients with thoracic endometriosis,
the condition is believed to have spread from pelvic endometriosis [5]. Therefore, the
variations in published results are likely due to the different methods used to diagnose
pelvic endometriosis. A definitive diagnosis of pelvic endometriosis requires diagnostic
laparoscopy, and results from that procedure indicate that the prevalence of pelvic
endometriosis among patients of reproductive age is 5 to 10% [22]. In the present study,
2.3% (3/132) of the patients with PSP had a history of pelvic endometriosis.
Previous analyses of catamenial pneumothorax calculated a mean age within
the 30s with a range in such patients from 15 to 54 years [5]. However, patients with
PSP are often in their early 20s but rarely beyond the age of 40 years [2]. The mean age
of patients with TERP examined here was about 10 years older than that of patients with
PSP. Therefore, it is important to consider the patient’s age when diagnosing TERP in
female patients with pneumothorax.
Habitual smoking has been associated with a risk of developing PSP [15, 16];
additionally, patients with PSP tended to be taller than control patients in a previous
study [14]. Elsewhere, TERP did not correlate with either the patients’ height or habitual
smoking [5]. The results of our study are consistent with these findings.
This study has several limitations. First, our subjects were located at the
Pneumothorax Research Center, which is specialized for the treatment of pneum othorax
and where many patients with intractable pneumothorax are referred. Accordingly,
clinical features for TERP and PSP may be biased. Second, we included only the
patients with PSP whose diagnoses were confirmed histologically. Since we usually
resect lung tissue only when large and/or multiple bullae are apparent during surgery,
the patients with PSP in our study may represent a biased population that is not
representative for PSP. Third, we could not have evaluated the significance of the onset
of pneumothorax during a menstrual cycle as a factor in differentiating TERP from PSP,
because no information about the relationship of pneumothorax onset and menstrual
period was obtainable for the patient with PSP. Finally, because this was a retrospective
cohort study, a prospective study to validate our scoring system is needed.
In conclusion, we have established a scoring system for the diagnosis of TERP
that is based on the assignment of weighted values to easily include four clinical
variables. This syst em has a highly positive predictive value for TERP as well as a
negative predictive value for PSP. This logical scheme provides a useful tool for
predicting TERP in the care of female patients with pneumothorax.
Conflicts of interest
None of the authors has any conflicts of interest with regard to this study.
Acknowledgment
We thank Ms. Phyllis Minick for her excellent proofreading of English writing.
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Figure legends
Figure 1. ROC curve for the prediction of TERP using the calculated score.
Note that the score of 12 gives 93.5% of sensitivity and 89.4% of specificity.
The method for calculating the score appears in the footnote of Table 2.
Table 1. Characteristics of study population.
Patients with
TERP
(n = 92)
Patients with
PSP
(n = 132)
p value
Age (years old) (range) 38.6 ± 5.7 (24 - 50) 27.7 ± 9.8 (14 - 67) < 0.01
Side of pneumothorax
Right
Left
91 (98.9%)
1 (1.1%)
56 (42.4%)
76 (57.6%)
< 0.01
Height (cm) 159.0 ± 4.9 160.9 ± 5.9 < 0.05
Weight (kg) 49.1 ± 5.7 47.6 ± 6.1 0.074
Smoking habit
Current/former smoker
Non-smoker
6 (6.5%)
86 (93.5%)
41 (31.1%)
91 (68.9%)
< 0.01
History of pelvic endometriosis 54 (58.7%) 3 (2.3%) < 0.01
The number of preoperative pneumothorax episodes 8.1 ± 3.2 2.8 ± 1.6 < 0.01
Postoperative follow-up period (months) 36.2 ± 22.3 12.0 ± 11.8 < 0.01
The number of patient with postoperative recurrence 36 (39.1%) 23 (17.4%) < 0.01
Table 2. Factors predicting TERP.
* If each risk factor does not exist, the score “0” is given in the following equation:
Calculated score = Right pneumothorax (score 6 or 0) + History of pelvic endometriosis (score 5 or 0) + Age ≥ 31 years old (score 4 or 0) +
No history of smoking (score 3 or 0).
NA, not adopted
Risk factors Odds ratio 95% CI p value Score
Assigned*
Right pneumothorax 440.3 15.0 - 12943.4 < 0.01 6
History of pelvic endometriosis 115.1 10.2 - 1306.2 < 0.01 5
Age ≥ 31 year 78.0 12.1 - 502.1 < 0.01 4
No history of smoking 13.4 3.0 - 61.0 < 0.01 3
The number of preoperative pneumothorax episodes ≥ 4 5.8 1.4 - 23.6 < 0.05 NA
Height ≤ 159 cm 4.1 1.2 - 14.2 < 0.05 NA
Table 3. Diagnostic significance of calculated score to differentiate between TERP and PSP.
Numbers in parentheses indicate 95% CI.
Sensitivity Specificity Positive predictive value Negative predictive value
Calculated score ≥ 12 0.935
(0.902 - 0.967)
0.894
(0.854 - 0.934)
0.860
(0.815 - 0.905)
0.952
(0.923 - 0.980)
Lung vol. 192 No. 4
平成 26 年 8 月 1 日 公表済
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